Evidence map›Paper›PMID 34505945›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

RGD-functionalised melanin nanoparticles for intraoperative photoacoustic imaging-guided breast cancer surgery.

Jing-Jing Liu, Zun Wang, Li-Ming Nie, Yuan-Yuan Zhu, Ge Li, Lin-Ling Lin, Min Chen, Guo-Jun Zhang

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jing-Jing Liu *Cancer Center & Department of Breast and Thyroid Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 2000 Xiang'an Road East, Xiamen, 361101, Fujian, China.
Zun Wang *ChangJiang Scholar's Laboratory, Shantou University Medical College, Shantou, 515041, Guangdong, China.
Li-Ming NieState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, 361102, Fujian, China.
Yuan-Yuan ZhuCancer Center & Department of Breast and Thyroid Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 2000 Xiang'an Road East, Xiamen, 361101, Fujian, China.
Ge LiCancer Center & Department of Breast and Thyroid Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 2000 Xiang'an Road East, Xiamen, 361101, Fujian, China.
Lin-Ling LinCancer Center & Department of Breast and Thyroid Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 2000 Xiang'an Road East, Xiamen, 361101, Fujian, China.
Min ChenXiamen Key Laboratory for Endocrine-Related Cancer Precision Medicine, Xiang'an Hospital of Xiamen University, Xiamen, 361101, Fujian, China. mchen@xah.xmu.edu.cn.
Guo-Jun ZhangCancer Center & Department of Breast and Thyroid Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 2000 Xiang'an Road East, Xiamen, 361101, Fujian, China. gjzhang@xah.xmu.edu.cn.ORCID http://orcid.org/0000-0001-5182-5887
Xiamen University · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObtaining tumour-free margins is critical for avoiding re-excision and reducing local recurrence following breast-conserving surgery; however, it remains challenging. Imaging-guided surgery provides precise detection of residual lesions and assists surgical resection. Herein, we described water-soluble melanin nanoparticles (MNPs) conjugated with cyclic Arg-Gly-Asp (cRGD) peptides for breast cancer photoacoustic imaging (PAI) and surgical navigation.

methodsThe cRGD-MNPs were synthesised and characterized for morphology, photoacoustic characteristics and stability. Tumour targeting and toxicity of cRGD-MNPs were determined by using either breast cancer cells, MDA-MB-231 tumour-bearing mice or the FVB/N-Tg (MMTV-PyVT) 634Mul/J mice model. PAI was used to locate the tumour and guide surgical resection in MDA-MB-231 tumour-bearing mice.

resultsThe cRGD-MNPs exhibited excellent in vitro and in vivo tumour targeting with low toxicity. Intravenous administration of cRGD-MNPs to MDA-MB-231 tumour-bearing mice showed an approximately 2.1-fold enhancement in photoacoustic (PA) intensity at 2 h, and the ratio of the PA intensity at the tumour site to that in the surrounding normal tissue was 3.2 ± 0.1, which was higher than that using MNPs (1.7 ± 0.3). Similarly, the PA signal in the spontaneous breast cancer increased ~ 2.5-fold at 2 h post-injection of cRGD-MNPs in MMTV-PyVT transgenic mice. Preoperative PAI assessed tumour volume and offered three-dimensional (3D) reconstruction images for accurate surgical planning. Surgical resection following real-time PAI showed high consistency with histopathological analysis.

conclusionThese results highlight that cRGD-MNP-mediated PAI provide a powerful tool for breast cancer imaging and precise tumour resection. cRGD-MNPs with fine PA properties have great potential for clinical translation.

Indexed as

Breast NeoplasmsNanoparticlesPhotoacoustic TechniquesSurgery, Computer-AssistedAnimalsFemaleHumansMelaninsMiceOligopeptidesarginyl-glycyl-aspartic acidMelaninsOligopeptidesBioimagingBreast cancerImaging-guided surgeryMelaninPhotoacoustic imagingTumour detection

Identifiers

PMID34505945
PMCPMC8803813
OpenAlexW3161009102

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.